The D427 class Data Management – Applications in particular provides a detailed look at SQL, which is a cornerstone of database administration. This final module is helpful to anyone intending to practice Data management or related Information Technology careers. Among a wide range of concepts and tools introduced during the course, you will learn to write queries, design a database, and handle the execution of those queries by indexing.

This course is organized in a way that will allow you to start from the basic form of SQL, and move to further levels of complexities for example joining, aggregations, as well as basic database designs. Apart from the use of SQL, the D427 course also focuses on 'Skills in Practice' or doing assignments in labs where you are expected to write and implement SQL queries. What is more, these labs are resourceful in having you ready for both the Objective Assessment and most importantly other SQL real-life aspects in the business.

However, what may be greatly appreciated about the D427 course is that it covers both the theoretical aspect as well as the practical one. There are no boring lectures about how to write a basic SELECT statement or explicitly about how to improve the queries in order to use fewer server resources and be as efficient as possible. The OA component can contain multiple-choice questions as well as SQL scripting assignments, so both the knowledge and the practical approach should be highly valued.

Further, the D427 module has many lab activities that can simulate the actual work of database management. At the end of the course you will have learned the basics of SQL and database and these skills will be useful when going to work.

By the end of the D427 course, you will have mastered several competencies, including:

• SQL Fundamentals: Remember the fundamental requisites in entering the data into the database and defining the parameters on the tables and indexes.
• Database Querying: Become proficient in using queries using SELECT statements, joining tables, and adding subclasses such as SUM and COUNT.
• Data Manipulation and Definition: Understand how to use DML statements such as INSERT, UPDATE, and DELETE, as well as DDL commands like CREATE, ALTER, and DROP.
• Database Optimization: Understand how to use Data Manipulation Language (DML) statements including insert, update, and delete statements, and Data Definition Language (DDL) commands including create, alter, and drop commands.
• SQL Scripting for Assessments: Find out how indexing and a good choice of the data structure of the table can enhance the efficiency of the SQL statements.